Pierre Laforgue

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Venues

CoRR

AISTATS

ICML

Trans. Mach. Learn. Res.

Joseph Fourier University, Grenoble, France (PHD)

Education History

Joseph Fourier University, Grenoble, France

PHD

Publications

Tamim El Ahmad, Luc Brogat-Motte, Pierre Laforgue, Florence d'Alché-Buc
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels. AISTATS (2024)
Giulia Clerici, Pierre Laforgue, Nicolò Cesa-Bianchi
Linear Bandits with Memory. Trans. Mach. Learn. Res. 2024 (2024)
Juliette Achddou, Nicolò Cesa-Bianchi, Pierre Laforgue
Multitask Online Learning: Listen to the Neighborhood Buzz. AISTATS (2024)
Tamim El Ahmad, Junjie Yang, Pierre Laforgue, Florence d'Alché-Buc
Deep Sketched Output Kernel Regression for Structured Prediction. CoRR (2024)
Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning. CoRR (2023)
Giulia Clerici, Pierre Laforgue, Nicolò Cesa-Bianchi
Linear Bandits with Memory: from Rotting to Rising. CoRR (2023)
Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning. NeurIPS (2023)
Tamim El Ahmad, Luc Brogat-Motte, Pierre Laforgue, Florence d'Alché-Buc
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels. CoRR (2023)
Tamim El Ahmad, Pierre Laforgue, Florence d'Alché-Buc
Fast Kernel Methods for Generic Lipschitz Losses via p-Sparsified Sketches. Trans. Mach. Learn. Res. 2023 (2023)
Juliette Achddou, Nicolò Cesa-Bianchi, Pierre Laforgue
Multitask Online Learning: Listen to the Neighborhood Buzz. CoRR (2023)
Pierre Laforgue, Andrea Della Vecchia, Nicolò Cesa-Bianchi, Lorenzo Rosasco
AdaTask: Adaptive Multitask Online Learning. CoRR (2022)
Pierre Laforgue, Giulia Clerici, Nicolò Cesa-Bianchi, Ran Gilad-Bachrach
A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits. AISTATS (2022)
Nicolò Cesa-Bianchi, Pierre Laforgue, Andrea Paudice, Massimiliano Pontil
Multitask Online Mirror Descent. Trans. Mach. Learn. Res. 2022 (2022)
Tamim El Ahmad, Pierre Laforgue, Florence d'Alché-Buc
p-Sparsified Sketches for Fast Multiple Output Kernel Methods. CoRR (2022)
Pierre Laforgue, Stéphan Clémençon, Patrice Bertail
On Medians of (Randomized) Pairwise Means. CoRR (2022)
Guillaume Staerman, Pierre Laforgue, Pavlo Mozharovskyi, Florence d'Alché-Buc
When OT meets MoM: Robust estimation of Wasserstein Distance. AISTATS (2021)
Pierre Laforgue, Guillaume Staerman, Stéphan Clémençon
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study. ICML (2021)
Nicolò Cesa-Bianchi, Pierre Laforgue, Andrea Paudice, Massimiliano Pontil
Multitask Online Mirror Descent. CoRR (2021)
Robin Vogel, Stéphan Clémençon, Pierre Laforgue
Visual Recognition with Deep Learning from Biased Image Datasets. CoRR (2021)
Pierre Laforgue, Giulia Clerici, Nicolò Cesa-Bianchi, Ran Gilad-Bachrach
Break your Bandit Routine with LSD Rewards: a Last Switch Dependent Analysis of Satiation and Seasonality. CoRR (2021)
Guillaume Staerman, Pierre Laforgue, Pavlo Mozharovskyi, Florence d'Alché-Buc
When OT meets MoM: Robust estimation of Wasserstein Distance. CoRR (2020)
Pierre Laforgue, Guillaume Staerman, Stéphan Clémençon
How Robust is the Median-of-Means? Concentration Bounds in Presence of Outliers. CoRR (2020)
Pierre Laforgue, Alex Lambert, Luc Brogat-Motte, Florence d'Alché-Buc
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses. ICML (2020)
Pierre Laforgue, Stéphan Clémençon
Statistical Learning from Biased Training Samples. CoRR (2019)
Stéphan Clémençon, Pierre Laforgue, Patrice Bertail
On Medians of (Randomized) Pairwise Means. ICML (2019)
Pierre Laforgue, Alex Lambert, Luc Motte, Florence d'Alché-Buc
On the Dualization of Operator-Valued Kernel Machines. CoRR (2019)
Pierre Laforgue, Stéphan Clémençon, Florence d'Alché-Buc
Autoencoding any Data through Kernel Autoencoders. AISTATS (2019)
Pierre Laforgue, Stéphan Clémençon, Florence d'Alché-Buc
Autoencoding any Data through Kernel Autoencoders. CoRR (2018)

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Publication Activity (10 Years)

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Pierre Laforgue